Sunil Dixit

US Patent:

20070225966, Sep 27, 2007

Filed:

Jun 27, 2002

Appl. No.:

10/186345

Inventors:

Edward Suen - San Francisco CA, US
Sunil Dixit - Redwood City CA, US
James Rogers - Eden Prairie MN, US
Samar Lotia - Wayzata MN, US
Eric Musser - Saint Louis Park MN, US

Assignee:

Siebel Systems, Inc. - San Mateo CA

International Classification:

G06F 17/27

US Classification:

704009000

Abstract:

Techniques to provide dynamic multi-lingual support for software applications such as analytics, which typically rely on two different types of data, underlying data and metadata, to generate reports. The metadata defines the underlying data and a presentation layer displays the reports, which may be generated using presentation and metadata layer objects. Each such object may be defined by a language independent representation, which may in turn be associated with multiple display or language dependent representations (i.e., translations or translated strings) for multiple supported languages. One of the languages may be selected for use in a given session, and the display representations for the selected language are then bound to the language independent representations. The binding may be dynamically performed and is session-specific.

US Patent:

20070226339, Sep 27, 2007

Filed:

Jun 27, 2002

Appl. No.:

10/186328

Inventors:

Edward Suen - San Francisco CA, US
Sunil Dixit - Redwood City CA, US

Assignee:

Siebel Systems, Inc. - San Mateo CA

International Classification:

G06F 15/173

US Classification:

709226000

Abstract:

Techniques to dynamically select data sources for users and to direct queries for the users to the proper data sources. Initially, user information (e.g., user name) for each user is received and used to determine a data source designated for the user. The designated data source may be determined via a look-up table or by running a query with the user information to obtain the identity (e.g., the logical name) of the data source. A data source variable for each user can then be set to the identity of the designated data source. Thereafter, queries for each user are directed to the user's designated data source by determining database connection information for the designated data source based on the data source variable and using this information to direct the queries.

US Patent:

20230032926, Feb 2, 2023

Filed:

Jul 30, 2021

Appl. No.:

17/389440

Inventors:

- San Francisco CA, US
Zhijian Huang - San Francisco CA, US
Vinodh Rajagopal - San Francisco CA, US
Sunil Dixit - San Francisco CA, US
Sriram Gopalan - San Francisco US, US
Liang Xie - San Francisco CA, US
Bowen Wang - San Francisco CA, US

International Classification:

G06F 16/28
G06F 3/0484
G06F 16/22

Abstract:

Methods, computer readable media, and devices for dynamically identifying and associating disparate records are disclosed. One method may include receiving a first set of association criteria, identifying a first source object and a first target object based on the first set of association criteria, creating a first association object indicating an association between the first source object and the first target object, storing the first association object, receiving a second set of association criteria, identifying a second source object and a second target object based on the second set of association criteria, and creating a second association object.

US Patent:

20210150548, May 20, 2021

Filed:

Jun 15, 2020

Appl. No.:

16/901839

Inventors:

- San Francisco CA, US
Sunil DIXIT - San Francisco CA, US
Mani Kandar MADDURI - Hyderabad, IN
Mohan KRISHNA - Telangana, IN
Ashish TARA - Hyderabad, IN

International Classification:

G06Q 30/02
G06K 9/62
G06N 20/00

Abstract:

Various embodiments for providing a system for the automatic segmentation and ranking of leads and referrals are described herein. An embodiment operates by receiving historical data including information about prospective customers who purchased one or more products. A set of segments of the prospective customers are identified, the historical data is grouped into the set of segments, and a predictive model for a conversion is generated for each segment based on the grouped historical data. A processor generates two or more predictive scores a new prospective customer, wherein each predictive score is based on the generated predictive model for two or more of the segments to which the new prospective customer belongs. The predictive score for the at least one new prospective customer is ranked along with predictive scores of a plurality of other prospective customers for display for at least one of the two or more segments.